Qualitative comparison.
The qualitative comparison on \(16{\times }\)  SR is shown in Fig. REF . Guided by low-dimensional vectors and constraints in LR space, the outputs of GAN inversion methods are unable to maintain a good fidelity. In particular, PULSE [1]} and mGANprior [2]} fail to restore a face image with the same identity. In addition, artifacts are observed in their outputs.
Through finetuning the generator during optimization, the result of DGP [3]} demonstrates significant improvements in both quality and fidelity. However, a slight difference between the identities of the output and ground-truth is still observed. For example, the eyes and lips show noticeable differences.
